Description

At GeoUtilities 2014, James Brayshaw, Vice President Location Intelligence Business (MapInfo) EMEA, Pitney Bowes Software, showed how location enabled data can make a real difference for utilities in understanding who are their customers and where there is a revenue collection and upsell opportunity. James highlights the three important steps that businesses need to consider to integrate enterprise location intelligence into the broader customer data strategy, and gives some useful case studies that demonstrate the value of this type of approach.

Top Challenges for Managing my Customer Data Data is highly fragmented, in incompatible formats & difficult to access. Collecting & making sense of real-time data such as geo-positioning, messaging, etc. captured by mobile devices. Data is low quality, out of context and incomplete Growing concern around security & privacy of data Impact on business systems given increasing amount of corporate data is outside the firewalls. Exploding data from social media & other real-time IT/OT sources, arriving at high velocity.

How Location Intelligence and Customer Information Management fits Into a client Journey Company Data Management Spatial Data & Analysis Insight Strategy Communications Inbound & Outbound Channels Customers Data is the most valuable asset of any business and is the foundation for building relationships with our customers. Location intelligence will greatly enhance an organisation’s ability to understand customer behaviours.

What Does this mean? • Solution enabler around information to improve business decisions. • Use your enterprise information assets to support strategic, tactical and operational decisions. • Platform is the core of a growing ecosystem of applications and services around customer, location and assets domains. 24

Case Study: Single Customer View Spectrum has enabled Citibank to: • Generate and maintain a single customer identity across the enterprise, including all Lines of Business and Geographies. • Enable any teller, banker, or agent to immediately understand the value of the customer standing in front of them. • Validate and standardize data migrated into the client’s MDM system. 26

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